2017
DOI: 10.1016/j.ejso.2017.04.014
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Association between the time to surgery and survival among patients with colon cancer: A population-based study

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Cited by 53 publications
(69 citation statements)
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“…>30 days), age (the hazard death ratio increases as age), black and Latino patients, as well as patients with comorbidities. Another study corroborates this information finding as factors associated with an increase in the time to treat the age over 80 years, the Charlson scale of one or higher, centers of high surgical volume and patients in stage I; however, they did not identify a lower survival in patients with a delayed start of treatment 6. …”
supporting
confidence: 55%
See 1 more Smart Citation
“…>30 days), age (the hazard death ratio increases as age), black and Latino patients, as well as patients with comorbidities. Another study corroborates this information finding as factors associated with an increase in the time to treat the age over 80 years, the Charlson scale of one or higher, centers of high surgical volume and patients in stage I; however, they did not identify a lower survival in patients with a delayed start of treatment 6. …”
supporting
confidence: 55%
“…This period between the diagnosis and treatment of patients reflects both the availability of hospital resources and the efficiency of the health system in general (such as, proximity of specialized health services to the patient's home, availability of staff, etc) and patient factors (access to transportation, socioeconomic status, schooling, etc). It is difficult to set up an ideal time to surgery (TTS), but centers such as Cancer Care Ontario recommend as a quality indicator that it be done within 42 days of diagnosis, and in their institution, 90% of patients meet this requirement . However, in some studies, this period has been defined as less than 60 days .…”
Section: Introductionmentioning
confidence: 99%
“…In many previous studies, the authors have seemed unprepared for meeting contradictory results. Instead of questioning their study design, many have ignored statistically significant reverse effects and claimed that the time duration of both diagnostic and treatment processes is too short to have any clinical relevance (Brasme et al, 2012;Flemming et al, 2017;Iversen, Antonsen, Laurberg, & Lautrup, 2009;Nagle et al, 2011;Polissar, Sim, & Francis, 1981;Porta, Gallen, Malats, & Planas, 1991;Rupassara, Ponnusamy, Withanage, & Milewski, 2006;Sainsbury, Johnston, & Haward, 1999). We believe such conclusions to be erroneous, because clinical triage will inherently result in selecting the very ill patients to be prioritised.…”
Section: Discussionmentioning
confidence: 99%
“…Instead of questioning their study design, many have ignored statistically significant reverse effects and claimed that the time duration of both diagnostic and treatment processes is too short to have any clinical relevance(Brasme et al, 2012;Flemming et al, 2017;Iversen, Antonsen, Laurberg, & Lautrup, 2009;Nagle et al, 2011;Polissar, Sim, & Francis, 1981;Porta, Gallen, Malats, & Planas, 1991;Rupassara, Ponnusamy, Withanage, & Milewski, 2006;Sainsbury, Johnston, & Haward, 1999). Instead of questioning their study design, many have ignored statistically significant reverse effects and claimed that the time duration of both diagnostic and treatment processes is too short to have any clinical relevance(Brasme et al, 2012;Flemming et al, 2017;Iversen, Antonsen, Laurberg, & Lautrup, 2009;Nagle et al, 2011;Polissar, Sim, & Francis, 1981;Porta, Gallen, Malats, & Planas, 1991;Rupassara, Ponnusamy, Withanage, & Milewski, 2006;Sainsbury, Johnston, & Haward, 1999).…”
mentioning
confidence: 99%
“…In healthcare, Austin et al [42] determined patient and system characteristics associated with the waiting time of essential medical treatment by QR, and found that gender had a greater impact upon those patients who had the greatest delays in treatment. Other interesting applications could also be found in economics [72][73][74], clinical and biomedical research [75,76], and healthcare areas [77,78].…”
Section: Qr Models For Time-to-event Datamentioning
confidence: 99%